416 Open source projects that are alternatives of or similar to Gpdotnetv4

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

Unsupervised ML algorithm for predictive modeling and time-series analysis

simple neural network library in ANSI C

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

An AI to teach Google Chrome's dinosaur to jump obstacles.

Curated Tensorflow code resources to help you get started with Deep Learning.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Serving a keras model (neural networks) in a website with the python Django-REST framework.

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Curso de Introducción a Machine Learning con Python

Deep neural network framework for multi-label text classification

Fast webpages for all browsers.

An interactive ecosystem and evolution simulator written in C and OpenGL, for GNU/Linux.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

This is an open sourced book on deep learning.

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Autonomous car simulator (based on JavaScript & WebGL) implemented by fuzzy control system, genetic algorithm and particle swarm optimization.

The simplest form of an artificial neural network explained and demonstrated.

Automated Line Fitting Algorithm

Space invaders, but the invaders evolve with genetic algorithm

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Awesome Artificial Intelligence Projects

A Genetic Algorithm-Based Solver for Jigsaw Puzzles 🌀

deeplearning.ai , By Andrew Ng, All video link

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

RNN based Time-series Anomaly detector model implemented in Pytorch.

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

List of papers, code and experiments using deep learning for time series forecasting

PyTorch - Python + Nim

Real-time object detection on Android using the YOLO network with TensorFlow

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

Code for Tensorflow Machine Learning Cookbook

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Statistical Machine Intelligence & Learning Engine

Mathematica implementations of machine learning algorithms used for prediction and personalization.

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

NeuPy is a Tensorflow based python library for prototyping and building neural networks

This repository helps you understand python from the scratch.

🎯 A comprehensive gradient-free optimization framework written in Python

A curated list of awesome awesomeness about artificial intelligence

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Learning to Cluster. A deep clustering strategy.

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

Header-only library for using Keras models in C++.

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Regression, Scrapers, and Visualization

Software to look for interrelationships between constants and find formulas for number sequences

Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

A Genetic Algorithm Framework in Python

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog